US11449918B2 - Makeup scheme recommendation method and device, cloud device, and electronic device - Google Patents

Makeup scheme recommendation method and device, cloud device, and electronic device Download PDF

Info

Publication number
US11449918B2
US11449918B2 US16/499,148 US201916499148A US11449918B2 US 11449918 B2 US11449918 B2 US 11449918B2 US 201916499148 A US201916499148 A US 201916499148A US 11449918 B2 US11449918 B2 US 11449918B2
Authority
US
United States
Prior art keywords
makeup
cosmetic
scheme
user
makeup scheme
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active, expires
Application number
US16/499,148
Other languages
English (en)
Other versions
US20200226657A1 (en
Inventor
Shihao Ji
Xin Li
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Beijing BOE Technology Development Co Ltd
Original Assignee
Beijing BOE Technology Development Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Beijing BOE Technology Development Co Ltd filed Critical Beijing BOE Technology Development Co Ltd
Assigned to BOE TECHNOLOGY GROUP CO., LTD. reassignment BOE TECHNOLOGY GROUP CO., LTD. ASSIGNMENT OF ASSIGNORS INTEREST (SEE DOCUMENT FOR DETAILS). Assignors: JI, SHIHAO, LI, XIN
Publication of US20200226657A1 publication Critical patent/US20200226657A1/en
Assigned to BEIJING BOE TECHNOLOGY DEVELOPMENT CO., LTD., reassignment BEIJING BOE TECHNOLOGY DEVELOPMENT CO., LTD., ASSIGNMENT OF ASSIGNORS INTEREST (SEE DOCUMENT FOR DETAILS). Assignors: BOE TECHNOLOGY GROUP CO., LTD.
Assigned to Beijing Boe Technology Development Co., Ltd. reassignment Beijing Boe Technology Development Co., Ltd. CORRECTIVE ASSIGNMENT TO CORRECT THE ASSIGNEE'S NAME AND STREET ADDRESS PREVIOUSLY RECORDED AT REEL: 060705 FRAME: 0602. ASSIGNOR(S) HEREBY CONFIRMS THE ASSIGNMENT . Assignors: BOE TECHNOLOGY GROUP CO., LTD.
Application granted granted Critical
Publication of US11449918B2 publication Critical patent/US11449918B2/en
Active legal-status Critical Current
Adjusted expiration legal-status Critical

Links

Images

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00Commerce
    • G06Q30/06Buying, selling or leasing transactions
    • G06Q30/0601Electronic shopping [e-shopping]
    • G06Q30/0631Item recommendations
    • AHUMAN NECESSITIES
    • A45HAND OR TRAVELLING ARTICLES
    • A45DHAIRDRESSING OR SHAVING EQUIPMENT; EQUIPMENT FOR COSMETICS OR COSMETIC TREATMENTS, e.g. FOR MANICURING OR PEDICURING
    • A45D44/00Other cosmetic or toiletry articles, e.g. for hairdressers' rooms
    • A45D44/005Other cosmetic or toiletry articles, e.g. for hairdressers' rooms for selecting or displaying personal cosmetic colours or hairstyle
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/24Querying
    • G06F16/245Query processing
    • G06F16/2455Query execution
    • G06F16/24553Query execution of query operations
    • G06F16/24558Binary matching operations
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/24Querying
    • G06F16/245Query processing
    • G06F16/2457Query processing with adaptation to user needs
    • G06F16/24578Query processing with adaptation to user needs using ranking
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90Details of database functions independent of the retrieved data types
    • G06F16/95Retrieval from the web
    • G06F16/953Querying, e.g. by the use of web search engines
    • G06F16/9535Search customisation based on user profiles and personalisation
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/04Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/08Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
    • G06Q10/087Inventory or stock management, e.g. order filling, procurement or balancing against orders

Definitions

  • the present disclosure relates to information processing technology, in particular to a makeup scheme recommendation method, a makeup scheme recommendation device, a cloud device and an electronic device.
  • the present disclosure provides in some embodiments a makeup scheme recommendation method, including: acquiring makeup parameters of a user, the makeup parameters including at least one of an environment parameter, a body parameter, and a makeup time parameter; searching for a target makeup scheme matching the makeup parameters from a makeup scheme pool; optimizing the target makeup scheme in accordance with cosmetic information about the user, and generating a recommended makeup scheme, the cosmetic information being used to indicate cosmetics owned by the user; and providing the recommended makeup scheme to the user.
  • the acquiring the makeup parameters of the user includes at least one of: acquiring position information from a client device, and searching for the environment parameter corresponding to the position information; and acquiring at least one of the pre-stored body parameter and the pre-stored makeup time parameter of the user.
  • the providing the recommended makeup scheme to the user includes providing the recommended makeup scheme to the client device.
  • each makeup scheme in the makeup scheme pool is provided with a parameter group
  • the searching for the target makeup scheme matching the makeup parameters from the makeup scheme pool includes ranking matching scores between the parameter groups and the makeup parameters in a descending order, and searching for N target makeup schemes corresponding to N top matching scores from the makeup scheme pool, N being an integer greater than or equal to 1.
  • the optimizing the target makeup schemes in accordance with the cosmetic information about the user and generating the recommended makeup scheme includes selecting a target makeup scheme that best matches the cosmetics owned by the user from the N target makeup schemes, optimizing the selected target makeup scheme in accordance with the cosmetic information about the user, and generating the recommended makeup scheme.
  • the optimizing the target makeup schemes in accordance with the cosmetic information about the user and generating the recommended makeup scheme includes adding information about a cosmetic j in a step i of the target makeup scheme, and generating the recommended makeup scheme.
  • the target makeup scheme includes M steps, M is an integer greater than 1, and step i is one of the M steps.
  • the cosmetic j is one of the cosmetics owned by the user and used in the step i, and the information about the cosmetic j includes at least one of a name and usage amount information of the cosmetic j.
  • the makeup scheme recommendation method further includes, prior to optimizing the target makeup scheme in accordance with the cosmetic information about the user and generating the recommended makeup scheme, receiving the cosmetic information from the client device.
  • the cosmetic information includes at least one of a cosmetic type, a cosmetic name, a cosmetic purchasing date, a cosmetic price, a cosmetic manufacturer, a cosmetic production date, a cosmetic expiration date, and a cosmetic volume.
  • the makeup scheme recommendation method further includes, when the cosmetic information includes the cosmetic expiration date and the cosmetics owned by the user include a soon-to-expire cosmetic, transmitting a prompt message indicating that the cosmetic is about to expire to the client device.
  • the present disclosure provides in some embodiments a makeup scheme recommendation method, including: transmitting position information to a cloud, so as to enable the cloud to acquire makeup parameters of a user, search for a target makeup scheme matching the makeup parameters from a makeup scheme pool, optimize the target makeup scheme in accordance with cosmetic information about the user, and generate a recommended makeup scheme, the makeup parameters including at least one of an environment parameter corresponding to the position information, a body parameter, and a makeup time parameter, the cosmetic information being used to indicate cosmetics owned by the user; and receiving the recommended makeup scheme from the cloud, and outputting the recommended makeup scheme.
  • the makeup scheme recommendation method further includes, prior to receiving the recommended makeup scheme from the cloud, transmitting the cosmetic information to the cloud.
  • the cosmetic information includes at least one of a cosmetic type, a cosmetic name, a cosmetic purchasing date, a cosmetic price, a cosmetic manufacturer, a cosmetic production date, a cosmetic expiration date, and a cosmetic volume.
  • the makeup scheme recommendation method further includes, when the cosmetic information includes the cosmetic expiration date and the cosmetics owned by the user include a soon-to-expire cosmetic, receiving from the cloud a prompt message indicating that the cosmetic is about to expire, and outputting the prompt message.
  • a makeup scheme recommendation device including: an acquisition module configured to acquire makeup parameters of a user, the makeup parameters including at least one of an environment parameter, a body parameter, and a makeup time parameter; a searching module configured to search for a target makeup scheme matching the makeup parameters from a makeup scheme pool; an optimization module configured to optimize the target makeup scheme in accordance with cosmetic information about the user, and generate a recommended makeup scheme, the cosmetic information being used to indicate cosmetics owned by the user; and a recommendation module configured to provide the recommended makeup scheme to the user.
  • the acquisition module includes: a first acquisition unit configured to acquire position information from a client device, and search for the environment parameter corresponding to the position information; and a second acquisition unit configured to acquire at least one of the pre-stored body parameter and the pre-stored makeup time parameter of the user.
  • the recommendation module is further configured to provide the recommended makeup scheme to the client device.
  • each makeup scheme in the makeup scheme pool is provided with a parameter group
  • the searching module is further configured to rank matching scores between the parameter groups and the makeup parameters in a descending order, and search for N target makeup schemes corresponding to N top matching scores from the makeup scheme pool, N being an integer greater than or equal to 1.
  • the optimization module is further configured to select a target makeup scheme that best matches the cosmetics owned by the user from the N target makeup schemes, optimize the selected target makeup scheme in accordance with the cosmetic information about the user, and generate the recommended makeup scheme.
  • the optimization module is further configured to add information about a cosmetic j in a step i of the target makeup scheme, and generate the recommended makeup scheme.
  • the target makeup scheme includes M steps, M is an integer greater than 1, and step i is one of the M steps.
  • the cosmetic j is one of the cosmetics owned by the user and used in the step i, and the information about the cosmetic j includes at least one of a name and usage amount information of the cosmetic j.
  • the makeup scheme recommendation device further includes a reception module configured to receive the cosmetic information from the client device.
  • the cosmetic information includes at least one of a cosmetic type, a cosmetic name, a cosmetic purchasing date, a cosmetic price, a cosmetic manufacturer, a cosmetic production date, a cosmetic expiration date, and a cosmetic volume.
  • the makeup scheme recommendation device further includes a prompt module configured to, when the cosmetic information includes the cosmetic expiration date and the cosmetics owned by the user include a soon-to-expire cosmetic, transmit a prompt message indicating that the cosmetic is about to expire to the client device.
  • a makeup scheme recommendation device including: a first transmission module configured to transmit position information to a cloud, so as to enable the cloud to acquire makeup parameters of a user, search for a target makeup scheme matching the makeup parameters from a makeup scheme pool, optimize the target makeup scheme in accordance with cosmetic information about the user, and generate a recommended makeup scheme, the makeup parameters including at least one of an environment parameter corresponding to the position information, a body parameter, and a makeup time parameter, the cosmetic information being used to indicate cosmetics owned by the user; and an output module configured to receive the recommended makeup scheme from the cloud, and output the recommended makeup scheme.
  • the makeup scheme recommendation device further includes a second transmission module configured to transmit the cosmetic information to the cloud.
  • the cosmetic information includes at least one of a cosmetic type, a cosmetic name, a cosmetic purchasing date, a cosmetic price, a cosmetic manufacturer, a cosmetic production date, a cosmetic expiration date, and a cosmetic volume.
  • the makeup scheme recommendation device further includes a prompt module configured to, when the cosmetic information includes the cosmetic expiration date and the cosmetics owned by the user include a soon-to-expire cosmetic, receive from the cloud a prompt message indicating that the cosmetic is about to expire, and output the prompt message.
  • a prompt module configured to, when the cosmetic information includes the cosmetic expiration date and the cosmetics owned by the user include a soon-to-expire cosmetic, receive from the cloud a prompt message indicating that the cosmetic is about to expire, and output the prompt message.
  • the present disclosure provides in some embodiments a cloud device, including a memory, a processor, and a computer program stored in the memory and executed by the processor.
  • the processor is configured to execute the computer program so as to implement the above-mentioned makeup scheme recommendation method.
  • the present disclosure provides in some embodiments an electronic device, including a memory, a processor, and a computer program stored in the memory and executed by the processor.
  • the processor is configured to execute the computer program so as to implement the above-mentioned makeup scheme recommendation method.
  • the present disclosure provides in some embodiments a computer-readable storage medium storing therein a computer program.
  • the computer program is executed by a processor so as to implement any one of the above-mentioned makeup scheme recommendation methods.
  • FIG. 1 is a flow chart of a makeup scheme recommendation method according to some embodiments of the present disclosure
  • FIG. 2 is another flow chart of the makeup scheme recommendation method according to some embodiments of the present disclosure
  • FIG. 3 is a schematic view showing internal modules of a cloud device according to some embodiments of the present disclosure.
  • FIG. 4 is a flow chart of a makeup scheme recommendation method according to some embodiments of the present disclosure.
  • FIG. 5 is a schematic view showing a makeup scheme recommendation device according to some embodiments of the present disclosure.
  • FIG. 6 is another schematic view showing the makeup scheme recommendation device according to some embodiments of the present disclosure.
  • FIG. 7 is yet another schematic view showing the makeup scheme recommendation device according to some embodiments of the present disclosure.
  • FIG. 8 is still yet another schematic view showing the makeup scheme recommendation device according to some embodiments of the present disclosure.
  • FIG. 9 is a schematic view showing a makeup scheme recommendation device according to some embodiments of the present disclosure.
  • FIG. 10 is another schematic view showing makeup scheme recommendation device according to some embodiments of the present disclosure.
  • FIG. 11 is yet another schematic view showing the makeup scheme recommendation device according to some embodiments of the present disclosure.
  • FIG. 12 is a schematic view showing a cloud device according to some embodiments of the present disclosure.
  • FIG. 13 is a schematic view showing an electronic device according to some embodiments of the present disclosure.
  • each makeup scheme recommended on a network merely includes basic makeup steps, and a corresponding cosmetic is used in each makeup step.
  • the makeup steps will be omitted. Hence, it is probably unable for the user to achieve a desired makeup effect in accordance with the recommended makeup scheme.
  • the present disclosure provides in some embodiments a makeup scheme recommendation method which, as shown in FIG. 1 , includes Step 101 of acquiring makeup parameters of a user, the makeup parameters including at least one of an environment parameter, a body parameter, and a makeup time parameter; Step 102 of searching for a target makeup scheme matching the makeup parameters from a makeup scheme pool; Step 103 of optimizing the target makeup scheme in accordance with cosmetic information about the user, and generating a recommended makeup scheme, the cosmetic information being used to indicate cosmetics owned by the user; and Step 104 of providing the recommended makeup scheme to the user.
  • the makeup parameters of the user may be inputted through a client device.
  • the makeup parameters of the user may be inputted by the user.
  • the body parameter may be inputted by the user during the registration.
  • each user or customer
  • the body parameter also called as registration information, may be stored in associated with the account.
  • the body parameter may include age, gender or skin type information.
  • the cosmetic information may be stored in association with the account, and the cosmetic information may be used to indicate the cosmetics owned by the user (e.g., the cosmetics that have been purchased by the user).
  • the environment parameter may be environment information about a corresponding region acquired through collecting position information about the user.
  • the environment information about the corresponding region may be acquired by the cloud in accordance with the position information reported by the client device.
  • the environment parameter may include at least one of temperature, humidity, illumination, wind force and air quality.
  • the makeup time parameter may be inputted by the user in advance.
  • the user may set a user preference at the client device in accordance with the user's living habit, e.g., set a daytime makeup time as about 30 minutes and set a nighttime makeup time as 50 minutes.
  • the target makeup scheme matching the makeup parameters may be searched for using one or more of the environment parameter, the body parameter and the makeup time parameter.
  • the target makeup scheme matching the makeup parameters may be searched for using the environment parameter, the body parameter and the makeup time parameter.
  • the target makeup scheme is searched for using a plurality of parameters, it is able to acquire the target makeup scheme with a better matching level.
  • the makeup scheme pool may be acquired in advance, or acquired through accessing a remote device via a network.
  • the makeup scheme pool may include a plurality of makeup schemes corresponding to different makeup parameters.
  • the makeup scheme pool may include makeup schemes for men and makeup schemes for women.
  • the makeup schemes for men may include makeup schemes for different environments and makeup schemes for different ages.
  • the makeup schemes for women may include makeup schemes for different environments and makeup schemes for different ages.
  • the searching for the target makeup scheme matching the makeup parameters from the makeup scheme pool may include searching for the target makeup scheme adapted to the makeup parameters from the makeup scheme pool.
  • a makeup scheme A is adapted to men at a high temperature
  • a makeup scheme B is adapted to women at a low temperature.
  • the makeup parameters include a gender as male and a high temperature
  • the makeup scheme A may be selected.
  • one or more target makeup schemes may be searched for, and each target makeup scheme may also be called as a theoretical makeup scheme.
  • the target makeup scheme may probably not be a finally-recommended scheme, and it may be optimized subsequently as follow-up in combination with the user's cosmetics.
  • the cosmetic information may include a cosmetic type, a cosmetic name, a purchasing date, a price, a manufacturer, a production date, and an expiration date.
  • the cosmetic information may be acquired through the client device, or directly inputted by the user.
  • the user may use the client device to acquire the cosmetic information about the cosmetic that has already been purchased through scanning a bar code or a QR code, or the user may manually input the cosmetic information.
  • the client device may upload the cosmetic information about the cosmetic that has already been purchased to the cloud in the case of being connected to the cloud.
  • the cosmetic information may be stored in associated with the user's account, and updated in real time.
  • the cosmetic information about the user may be updated in accordance with the cosmetics purchased or used by the user.
  • the optimizing the target makeup scheme in accordance with the cosmetic information about the user and generating the recommended makeup scheme may include adding usage information about the cosmetics owned by the user into the searched target makeup scheme, or adjusting steps in the target makeup scheme in accordance with the cosmetics owned by the user. For example, when the target makeup scheme includes an eyebrow-drawing step but the cosmetics owned by the user do not include an eyebrow pencil, the eyebrow-drawing step may be cancelled, so as to optimize the target makeup scheme.
  • the providing the recommended makeup scheme to the user may include providing the recommended makeup scheme to the client device, or directly displaying the recommended makeup scheme, so as to recommend the recommended makeup scheme to the user.
  • the makeup scheme recommendation method may be applied to a cloud device.
  • the makeup scheme recommendation method may also be applied to an electronic device, e.g., a mobile phone, a flat-panel computer or a computer.
  • the makeup scheme may be recommended to the user in advance.
  • the makeup scheme may be recommended to the user in the night before, so as to enable the user to manage time properly.
  • the recommended makeup scheme may be searched for in accordance with the makeup parameters of the user, so as to acquire the target makeup scheme matching the makeup parameters of the user. Then, the acquired target makeup scheme may be optimized in accordance with the cosmetics owned by the user, so as to enable the recommended makeup scheme to be adapted to user, thereby to achieve a desired makeup effect in accordance with the recommended makeup scheme.
  • the makeup parameters of the user may be acquired, and the makeup parameters may include at least one of the environment parameter, the body parameter and the makeup time parameter.
  • the target makeup scheme matching the makeup parameters may be searched for from the makeup scheme pool.
  • the target makeup scheme may be optimized in accordance with the cosmetic information about the user so as to generate the recommended makeup scheme.
  • the cosmetic information is used to indicate the cosmetics owned by the user.
  • the recommended makeup scheme may be provided to the user.
  • the recommended makeup scheme may be selected in accordance with the makeup parameters of the user and optimized in accordance with the cosmetic information about the user. As a result, it is able to provide the recommended makeup scheme suitable for the user, thereby to improve the user satisfaction.
  • the present disclosure further provides in some embodiments a makeup scheme recommendation method which, as shown in FIG. 2 , includes: Step 201 of acquiring makeup parameters of a user, the makeup parameters including at least one of an environment parameter, a body parameter, and a makeup time parameter; Step 202 of ranking matching scores between parameter groups and the makeup parameters in a descending order, and searching for N target makeup schemes corresponding to N top matching scores from a makeup scheme pool, each makeup scheme in the makeup scheme pool being provided with a parameter group, N being an integer greater than or equal to 1; Step 203 of optimizing each target makeup scheme in accordance with cosmetic information about the user, and generating a recommended makeup scheme, the cosmetic information being used to indicate cosmetics owned by the user; and Step 204 of providing the recommended makeup scheme to the user.
  • each makeup scheme in the makeup scheme pool may be provided with a parameter group.
  • parameter group for the makeup scheme may be shown in Table 1.
  • the parameter groups for different makeup schemes may include different parameters.
  • some makeup schemes may include the parameter group in Table 1
  • some other makeup schemes may include some parameters in the parameter group in Table 1, e.g., gender, age, applicable skin type, weather type, humidity and makeup time.
  • Each makeup scheme may be provided with the parameter group, and the makeup parameters of the user may be acquired in Step 201 , so it is able to calculate the matching scores between the makeup schemes and the makeup parameters of the user, and then select the N target makeup schemes with the top N matching scores.
  • each parameter in the makeup parameters may match a corresponding parameter in the parameter group, so as to acquire a score of each parameter. Then, the score of each parameter may be multiplied by a corresponding weight value, so as to acquire the matching scores between the makeup parameters and the parameter groups.
  • each makeup scheme may be provided with a parameter group including 10 parameters as shown in Table 1.
  • a weight value of each of gender, age and makeup time may be set as 25%.
  • a score of gender may be 25 points, with a total score of 100 points.
  • a score of age may be 25 points, with the subtraction of 2 points from 25 points when the age of the user differs by one year from the age parameter in the makeup scheme.
  • a score of makeup time may be 25 points, with the subtraction of 2 points from 25 points when the expected makeup time differs by one minute from the makeup time in the makeup scheme.
  • the parameter When a value of any other parameter is the same as that of the corresponding parameter in the makeup scheme, the parameter may have a predetermined score. When the value of any other parameter is different from that of the corresponding parameter in the makeup scheme, the parameter may have a score acquired by subtracting a certain value from the predetermined score. In this way, it is able to acquire the matching scores between the makeup parameters and each makeup scheme.
  • the matching scores between the makeup parameters of the user and the parameter group for each makeup scheme may be selected from the makeup parameters, e.g., gender, age and makeup time, and then the makeup schemes matching the three parameters may be searched for from the makeup scheme pool. For example, when the gender is female, the age is 30 and the makeup time is 30 minutes, M makeup schemes for which the parameter group includes the parameters of female, age of 28 to 32 and makeup time of 25 to 35 minutes may be selected. Then, the corresponding score may be calculated in accordance with the other parameters in the parameter group, so as to select the N target makeup schemes from the M makeup schemes.
  • Step 202 the one or more target makeup schemes that best match the makeup parameters of the user may be selected, so the recommended makeup scheme provided subsequently may be adapted to the user in a better manner.
  • the optimizing the target makeup schemes in accordance with the cosmetic information about the user and generating the recommended makeup scheme may include selecting a target makeup scheme that best matches the cosmetics owned by the user from the N target makeup schemes, optimizing the selected target makeup scheme in accordance with the cosmetic information about the user, and generating the recommended makeup scheme.
  • the target makeup scheme that best matches the cosmetics owned by the user may include a makeup scheme selected from the N target makeup schemes and including most cosmetics in the cosmetics owned by the user.
  • a target makeup scheme # 1 including a cosmetic # 1 , a cosmetic # 2 , a cosmetic # 3 and a cosmetic # 4 a target makeup scheme # 2 including the cosmetic # 1 , the cosmetic # 3 , the cosmetic # 4 and a cosmetic # 5
  • a target makeup scheme # 3 including the cosmetic # 1 , the cosmetic # 2 , the cosmetic # 4 and the cosmetic # 5 a target makeup scheme # 3 including the cosmetic # 1 , the cosmetic # 2 , the cosmetic # 4 and the cosmetic # 5
  • the target makeup scheme # 1 may be selected.
  • the target makeup scheme that best matches the cosmetics owned by the user may include a makeup scheme including cosmetics newly purchased by the user.
  • the cosmetic When the user has newly purchased a cosmetic, usually the cosmetic is to be used soon, and the above-mentioned makeup scheme includes the cosmetics owned by the user.
  • the makeup scheme including the cosmetics owned by the user may be recommended to the user in time, so as to improve the user's satisfaction.
  • Step 101 may include Step 202 .
  • the target makeup schemes may not be selected in accordance with the matching scores between the parameter groups and the makeup parameters. Instead, the target makeup scheme with a biggest score may be selected from a plurality of makeup schemes matching some parameters in the makeup parameters (e.g., gender, age and makeup time). For example, each makeup scheme may be scored in accordance with feedback information from the user, and then a makeup scheme with a biggest score may be recommended to the user. After the makeup scheme has been recommended by a system, the user may determine whether to accept the recommended makeup scheme, or score the recommended makeup scheme after accepting the recommended makeup scheme.
  • the acquiring the makeup parameters of the user may include at least one of: acquiring position information from a client device, and searching for the environment parameter corresponding to the position information; and acquiring at least one of the pre-stored body parameter and the pre-stored makeup time parameter of the user.
  • the providing the recommended makeup scheme to the user may include providing the recommended makeup scheme to the client device.
  • the position information about the user may be acquired from the client device, so it is able to determine a position of the user in accordance with the position information, thereby to acquire environment information.
  • a cloud device may receive the position information reported by the client device, and acquire the environment information.
  • At least one of the body parameter and the makeup time parameter of the user may be inputted by the user in advance.
  • the body parameter and the makeup time parameter may be inputted by the user during the registration.
  • the body parameter and the makeup time parameter may be updated in real time or modified by the user.
  • the recommended makeup scheme may be provided to the client device of the user.
  • the recommended makeup scheme is provided to the client device of the user, it is able for the user to acquire the recommended makeup scheme conveniently, e.g., through a mobile phone or a computer.
  • the client device may present makeup steps included in the recommended makeup scheme in the form of text, video or image in a GIF format.
  • Each makeup step may include a specific operating method, cosmetics to be used, and a usage amount of each cosmetic, so as to improve a makeup effect using the recommended makeup scheme.
  • the cloud device may directly transmit the recommended makeup scheme in the form of text, video or image in a GIF format to the client device.
  • the optimizing the target makeup schemes in accordance with the cosmetic information about the user and generating the recommended makeup scheme may include adding information about a cosmetic j in a step i of the target makeup scheme, and generating the recommended makeup scheme.
  • the target makeup scheme may include M steps, M is an integer greater than 1, and step i may be one of the M steps.
  • the cosmetic j may be one of the cosmetics owned by the user and used in the step i, and the information about the cosmetic j may include at least one of a name and usage amount information of the cosmetic j.
  • Step i may be any step in the target makeup scheme.
  • the corresponding cosmetic information e.g., the name and the usage amount of the cosmetic
  • the corresponding cosmetic information may be added into each step in the target makeup scheme, so as to enable the recommended makeup scheme to be adapted to the user in a better manner, thereby to improve the user's satisfaction.
  • the generated recommended makeup scheme may be shown in Table 2.
  • the recommended makeup scheme in Table 2 may be adapted to the user in a better manner, and it includes a plurality of makeup details in the entire makeup procedure.
  • the makeup scheme recommendation method may further include, prior to optimizing the target makeup scheme in accordance with the cosmetic information about the user and generating the recommended makeup scheme, receiving the cosmetic information from the client device.
  • the cosmetic information may include at least one of a cosmetic type, a cosmetic name, a cosmetic purchasing date, a cosmetic price, a cosmetic manufacturer, a cosmetic production date, a cosmetic expiration date, and a cosmetic volume.
  • the cosmetic information may be received from the client device, and it may include at least one of the cosmetic type, the cosmetic name, the cosmetic purchasing date, the cosmetic price, the cosmetic manufacturer, the cosmetic production date, the cosmetic expiration date, and the cosmetic volume.
  • the cloud device may recommend an appropriate makeup scheme to the user in accordance with the cosmetic information.
  • the cloud device may manage the cosmetics owned by the user in accordance with the cosmetic information.
  • the cloud device may include account information, the makeup scheme pool, an environment information acquisition module, a makeup scheme recommendation module and a cosmetic management module.
  • the account information may include the body parameter of the user, the cosmetic information and makeup time information, and the makeup scheme pool may include a plurality of makeup schemes.
  • the environment information acquisition module is configured to acquire the environment information.
  • the makeup scheme recommendation module is configured to select the makeup scheme from the makeup scheme pool in accordance with the environment information and the account information.
  • the cosmetic management module is configured to prompt the user of information about the expiration of the cosmetic, acquire information about the price of the cosmetic via a network, and add (and/or delete) cosmetics.
  • the makeup scheme recommendation method may further include, when the cosmetic information includes the cosmetic expiration date and the cosmetics owned by the user include a soon-to-expire cosmetic, transmitting a prompt message indicating that the cosmetic is about to expire to the client device.
  • the prompt message may be transmitted to the user before the expiration of the cosmetic that has been purchased, so it is able to prevent the user from using the expired cosmetic, and prompt the user to use up the cosmetic before the expiration of the cosmetic.
  • the makeup scheme recommendation method may further include prompting the user to purchase a new cosmetic, so as to prevent the lack of some cosmetics in one or more makeup steps.
  • the cloud device may inquire whether the cosmetics that have been purchased include the cosmetic of a same type, so as to facilitate the purchasing.
  • a remaining amount of the cosmetic may be managed in accordance with the usage amount of the cosmetic during the makeup procedure. For example, when the makeup scheme A in Table 2 has been recommended to the user, a remaining amount of each cosmetic may be updated in accordance with the usage amount of the cosmetic in the makeup scheme in Table 2, so as to acquire the remaining amount of each cosmetic in time. When one or more cosmetics are to be used up, the user may be prompted to purchase new cosmetics, so it is able to improve the user's satisfaction.
  • the user when the user is purchasing a new cosmetic, the user may input information about the to-be-purchased cosmetic, and the information may be transmitted via the client device to the cloud device.
  • the cloud device may search for the cosmetic using a user's account, and acquire information about the price of the cosmetic on one or more e-commerce platforms.
  • the cloud device may transmit the information about the price of the cosmetic to the client device.
  • the client device may then output the following information: whether the to-be-purchased cosmetic has been purchased and is being used, whether the to-be-purchased cosmetic was purchased previously, any other cosmetic capable of being used in combination with the to-be-purchased cosmetic, and the price of the to-be-purchased cosmetic on the e-commerce platforms, so as to improve the user's satisfaction.
  • the cosmetic may be deleted through the client device. Based on a cancellation operation made by the user, the information about the cosmetic that has been used up may be deleted from the information stored in the client device.
  • the present disclosure further provides in some embodiments a makeup scheme recommendation method which, as shown in FIG. 4 , includes: Step 401 of transmitting position information to a cloud, so as to enable the cloud to acquire makeup parameters of a user, search for a target makeup scheme matching the makeup parameters from a makeup scheme pool, optimize the target makeup scheme in accordance with cosmetic information about the user, and generate a recommended makeup scheme, the makeup parameters including at least one of an environment parameter corresponding to the position information, a body parameter, and a makeup time parameter, the cosmetic information being used to indicate cosmetics owned by the user; and Step 402 of receiving the recommended makeup scheme from the cloud, and outputting the recommended makeup scheme.
  • the makeup scheme recommendation method may further include, prior to receiving the recommended makeup scheme from the cloud, transmitting the cosmetic information to the cloud.
  • the cosmetic information may include at least one of a cosmetic type, a cosmetic name, a cosmetic purchasing date, a cosmetic price, a cosmetic manufacturer, a cosmetic production date, a cosmetic expiration date, and a cosmetic volume.
  • the makeup scheme recommendation method may further include, when the cosmetic information includes the cosmetic expiration date and the cosmetics owned by the user include a soon-to-expire cosmetic, receiving from the cloud a prompt message indicating that the cosmetic is about to expire, and outputting the prompt message.
  • the makeup scheme recommendation method may be applied to a client device, and the client device may be an electronic device installed on a mobile phone, a flat-panel computer, a computer or a television and connected to an electronic device of the cloud.
  • the present disclosure further provides a makeup scheme recommendation device 500 which, as shown in FIG. 5 , includes an acquisition module 501 , a searching module 502 , an optimization module 503 and a recommendation module 504 .
  • the acquisition module 501 is configured to acquire makeup parameters of a user, and the makeup parameters may include at least one of an environment parameter, a body parameter, and a makeup time parameter.
  • the searching module 502 is configured to search for a target makeup scheme matching the makeup parameters from a makeup scheme pool.
  • the optimization module 503 is configured to optimize the target makeup scheme in accordance with cosmetic information about the user, and generate a recommended makeup scheme, and the cosmetic information may be used to indicate cosmetics owned by the user.
  • the recommendation module 504 is configured to provide the recommended makeup scheme to the user.
  • the acquisition module 501 may include: a first acquisition unit 5011 configured to acquire position information from a client device, and search for the environment parameter corresponding to the position information; and a second acquisition unit 5012 configured to acquire at least one of the pre-stored body parameter and the pre-stored makeup time parameter of the user.
  • the recommendation module 504 is further configured to provide the recommended makeup scheme to the client device.
  • each makeup scheme in the makeup scheme pool may be provided with a parameter group
  • the searching module is further configured to rank matching scores between the parameter groups and the makeup parameters in a descending order, and search for N target makeup schemes corresponding to N top matching scores from the makeup scheme pool, where N is an integer greater than or equal to 1.
  • the optimization module 503 is further configured to select a target makeup scheme that best matches the cosmetics owned by the user from the N target makeup schemes, optimize the selected target makeup scheme in accordance with the cosmetic information about the user, and generate the recommended makeup scheme.
  • the optimization module 503 is further configured to add information about a cosmetic j in a step i of the target makeup scheme, and generate the recommended makeup scheme.
  • the target makeup scheme may include M steps, where M is an integer greater than 1, and step i may be one of the M steps.
  • the cosmetic j may be one of the cosmetics owned by the user and used in the step i, and the information about the cosmetic j may include at least one of a name and usage amount information of the cosmetic j.
  • the makeup scheme recommendation device 500 may further include a reception module 505 configured to receive the cosmetic information from the client device.
  • the cosmetic information may include at least one of a cosmetic type, a cosmetic name, a cosmetic purchasing date, a cosmetic price, a cosmetic manufacturer, a cosmetic production date, a cosmetic expiration date, and a cosmetic volume.
  • the makeup scheme recommendation device may further includes a prompt module 506 configured to, when the cosmetic information includes the cosmetic expiration date and the cosmetics owned by the user include a soon-to-expire cosmetic, transmit a prompt message indicating that the cosmetic is about to expire to the client device.
  • a prompt module 506 configured to, when the cosmetic information includes the cosmetic expiration date and the cosmetics owned by the user include a soon-to-expire cosmetic, transmit a prompt message indicating that the cosmetic is about to expire to the client device.
  • the makeup scheme recommendation device 500 may be used to implement the makeup scheme recommendation method in FIG. 1 and FIG. 2 with a same beneficial effect.
  • the present disclosure further provides in some embodiments a makeup scheme recommendation device 900 which, as shown in FIG. 9 , includes a first transmission module 901 and an output module 902 .
  • the first transmission module 901 is configured to transmit position information to a cloud, so as to enable the cloud to acquire makeup parameters of a user, search for a target makeup scheme matching the makeup parameters from a makeup scheme pool, optimize the target makeup scheme in accordance with cosmetic information about the user, and generate a recommended makeup scheme.
  • the makeup parameters may include at least one of an environment parameter corresponding to the position information, a body parameter, and a makeup time parameter, and the cosmetic information may be used to indicate cosmetics owned by the user.
  • the output module 902 is configured to receive the recommended makeup scheme from the cloud, and output the recommended makeup scheme.
  • the makeup scheme recommendation device 900 may further include a second transmission module 903 configured to transmit the cosmetic information to the cloud.
  • the cosmetic information may include at least one of a cosmetic type, a cosmetic name, a cosmetic purchasing date, a cosmetic price, a cosmetic manufacturer, a cosmetic production date, a cosmetic expiration date, and a cosmetic volume.
  • the makeup scheme recommendation device may further include a prompt module 904 configured to, when the cosmetic information includes the cosmetic expiration date and the cosmetics owned by the user include a soon-to-expire cosmetic, receive from the cloud a prompt message indicating that the cosmetic is about to expire, and output the prompt message.
  • a prompt module 904 configured to, when the cosmetic information includes the cosmetic expiration date and the cosmetics owned by the user include a soon-to-expire cosmetic, receive from the cloud a prompt message indicating that the cosmetic is about to expire, and output the prompt message.
  • the makeup scheme recommendation device 900 may be used to implement the makeup scheme recommendation method in FIG. 4 with a same beneficial effect.
  • the present disclosure further provides in some embodiments a cloud device 1200 which, as shown in FIG. 12 , includes a memory 1201 , a processor 1202 , and a computer program stored in the memory 1201 and executed by the processor 1202 .
  • the processor 1202 is configured to read the computer program stored in the memory 1201 , so as to: acquire makeup parameters of a user, the makeup parameters including at least one of an environment parameter, a body parameter, and a makeup time parameter; search for a target makeup scheme matching the makeup parameters from a makeup scheme pool; optimize the target makeup scheme in accordance with cosmetic information about the user, and generate a recommended makeup scheme, the cosmetic information being used to indicate cosmetics owned by the user; and provide the recommended makeup scheme to the user.
  • the processor 1202 is further configured to perform at least one of: acquiring position information from a client device, and searching for the environment parameter corresponding to the position information; and acquiring at least one of the pre-stored body parameter and the pre-stored makeup time parameter of the user.
  • the processor 1202 is further configured to provide the recommended makeup scheme to the client device.
  • group, and the processor 1202 is further configured to rank matching scores between the parameter groups and the makeup parameters in a descending order, and search for N target makeup schemes corresponding to N top matching scores from the makeup scheme pool, where N is an integer greater than or equal to 1.
  • the processor 1202 is further configured to select a target makeup scheme that best matches the cosmetics owned by the user from the N target makeup schemes, optimize the selected target makeup scheme in accordance with the cosmetic information about the user, and generate the recommended makeup scheme.
  • the processor 1202 is further configured to add information about a cosmetic j in a step i of the target makeup scheme, and generate the recommended makeup scheme.
  • the target makeup scheme may include M steps, M is an integer greater than 1, and step i may be one of the M steps.
  • the cosmetic j may be one of the cosmetics owned by the user and used in the step i, and the information about the cosmetic j may include at least one of a name and usage amount information of the cosmetic j.
  • the cosmetic information may include at least one of a cosmetic type, a cosmetic name, a cosmetic purchasing date, a cosmetic price, a cosmetic manufacturer, a cosmetic production date, a cosmetic expiration date, and a cosmetic volume.
  • the processor 1202 is further configured to, when the cosmetic information includes the cosmetic expiration date and the cosmetics owned by the user include a soon-to-expire cosmetic, transmit a prompt message indicating that the cosmetic is about to expire to the client device.
  • the cloud device 1200 may be used to implement the makeup scheme recommendation method in FIGS. 1 and 2 with a same beneficial effect.
  • the present disclosure further provides in some embodiments an electronic device 1300 which, as shown in FIG. 13 , includes a memory 1301 , a processor 1302 , and a computer program stored in the memory 1301 and executed by the processor 1302 .
  • the processor 1302 is configured to read the computer program stored in the memory 1301 , so as to: transmit position information to a cloud, so as to enable the cloud to acquire makeup parameters of a user, search for a target makeup scheme matching the makeup parameters from a makeup scheme pool, optimize the target makeup scheme in accordance with cosmetic information about the user, and generate a recommended makeup scheme, the makeup parameters including at least one of an environment parameter corresponding to the position information, a body parameter, and a makeup time parameter, the cosmetic information being used to indicate cosmetics owned by the user; and receive the recommended makeup scheme from the cloud, and output the recommended makeup scheme.
  • the processor 1302 prior to receiving the recommended makeup scheme from the cloud, is further configured to transmit the cosmetic information to the cloud.
  • the cosmetic information may include at least one of a cosmetic type, a cosmetic name, a cosmetic purchasing date, a cosmetic price, a cosmetic manufacturer, a cosmetic production date, a cosmetic expiration date, and a cosmetic volume.
  • the processor 1302 is further configured to, when the cosmetic information includes the cosmetic expiration date and the cosmetics owned by the user include a soon-to-expire cosmetic, receive from the cloud a prompt message indicating that the cosmetic is about to expire, and output the prompt message.
  • the electronic device 1300 may be used to implement the makeup scheme recommendation method in FIG. 4 with a same beneficial effect.
  • the present disclosure further provides in some embodiments a computer-readable storage medium storing therein a computer program.
  • the computer program is executed by a processor so as to implement the makeup scheme recommendation method in FIG. 1 and FIG. 2 , or the makeup scheme recommendation method in FIG. 4 .

Landscapes

  • Engineering & Computer Science (AREA)
  • Business, Economics & Management (AREA)
  • Theoretical Computer Science (AREA)
  • Economics (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Strategic Management (AREA)
  • Marketing (AREA)
  • General Business, Economics & Management (AREA)
  • Finance (AREA)
  • Development Economics (AREA)
  • Accounting & Taxation (AREA)
  • Human Resources & Organizations (AREA)
  • Databases & Information Systems (AREA)
  • Tourism & Hospitality (AREA)
  • Entrepreneurship & Innovation (AREA)
  • Operations Research (AREA)
  • Quality & Reliability (AREA)
  • Data Mining & Analysis (AREA)
  • General Engineering & Computer Science (AREA)
  • Computational Linguistics (AREA)
  • Game Theory and Decision Science (AREA)
  • Cosmetics (AREA)
  • Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)
US16/499,148 2018-05-22 2019-03-11 Makeup scheme recommendation method and device, cloud device, and electronic device Active 2040-05-09 US11449918B2 (en)

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
CN201810494703.2 2018-05-22
CN201810494703.2A CN110020187A (zh) 2018-05-22 2018-05-22 一种化妆方案推荐方法、装置和相关设备
PCT/CN2019/077631 WO2019223398A1 (zh) 2018-05-22 2019-03-11 化妆方案推荐方法、装置、云端设备以及电子设备

Publications (2)

Publication Number Publication Date
US20200226657A1 US20200226657A1 (en) 2020-07-16
US11449918B2 true US11449918B2 (en) 2022-09-20

Family

ID=67188306

Family Applications (1)

Application Number Title Priority Date Filing Date
US16/499,148 Active 2040-05-09 US11449918B2 (en) 2018-05-22 2019-03-11 Makeup scheme recommendation method and device, cloud device, and electronic device

Country Status (3)

Country Link
US (1) US11449918B2 (zh)
CN (1) CN110020187A (zh)
WO (1) WO2019223398A1 (zh)

Families Citing this family (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR102081947B1 (ko) * 2018-04-24 2020-02-26 주식회사 엘지생활건강 이동 단말기 및 화장품 자동인식 시스템
CN110533504A (zh) * 2019-08-14 2019-12-03 维沃移动通信有限公司 一种信息推送方法及终端
CN112733007B (zh) * 2019-10-14 2023-05-05 小卫(上海)生物科技有限公司 一种智能化妆方法及化妆镜
CN111064766A (zh) * 2019-10-24 2020-04-24 青岛海尔科技有限公司 基于物联网操作系统的信息推送方法、装置及存储介质
CN113379567B (zh) * 2021-05-10 2024-06-21 深圳数联天下智能科技有限公司 化妆品用量的确定方法、装置、设备及存储介质
CN113592591B (zh) * 2021-07-28 2024-02-02 张士娟 一种基于面部识别的妆容推荐系统
MX2024003030A (es) * 2021-09-09 2024-07-19 Sephora Usa Inc Comparacion de cosmeticos y productos para el cuidado de la piel de acuerdo con escaneo del tono de la piel y el estado de la piel.

Citations (14)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101032394A (zh) 2007-04-04 2007-09-12 中山大学 一种基于环境感知的化妆建议系统
US20100099383A1 (en) * 2007-07-12 2010-04-22 Fujitsu Limited Mobile terminal device
CN202026376U (zh) 2011-03-18 2011-11-02 上海华勤通讯技术有限公司 一种智能化妆助理手机
WO2012176958A1 (ko) * 2011-06-23 2012-12-27 아담휴 주식회사 뷰티체험실을 이용한 화장품 체험 추천구매시스템
US20150121464A1 (en) * 2013-10-29 2015-04-30 Mapquest, Inc. Systems and methods for geolocation-based authentication and authorization
US20150250294A1 (en) * 2014-03-04 2015-09-10 Rebecca Miller Systems and methods for previewing beauty cosmetic applications using an electronic device
CN105138648A (zh) 2015-08-26 2015-12-09 宇龙计算机通信科技(深圳)有限公司 一种信息推荐方法及用户终端
US20150356661A1 (en) * 2014-06-09 2015-12-10 Jillianne Rousay Cosmetic matching and recommendations
CN106407855A (zh) 2016-08-30 2017-02-15 珠海格力节能环保制冷技术研究中心有限公司 家用物品管理装置、方法及移动终端
CN106446207A (zh) 2016-09-30 2017-02-22 北京美到家科技有限公司 美妆库建库方法、个性化美妆辅助方法及其装置
CN106530014A (zh) 2016-11-21 2017-03-22 汕头市智美科技有限公司 一种用户大数据的处理方法及系统、一种数据库
CN106886907A (zh) 2017-01-19 2017-06-23 北京小米移动软件有限公司 处理商品信息的方法及装置
CN107198391A (zh) 2017-06-30 2017-09-26 广东工业大学 一种上妆指导美颜镜子
US20180060919A1 (en) * 2016-01-29 2018-03-01 Boe Technology Group Co., Ltd. Intelligent dresser and corresponding cloud expert system

Patent Citations (15)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101032394A (zh) 2007-04-04 2007-09-12 中山大学 一种基于环境感知的化妆建议系统
US20100099383A1 (en) * 2007-07-12 2010-04-22 Fujitsu Limited Mobile terminal device
CN202026376U (zh) 2011-03-18 2011-11-02 上海华勤通讯技术有限公司 一种智能化妆助理手机
WO2012176958A1 (ko) * 2011-06-23 2012-12-27 아담휴 주식회사 뷰티체험실을 이용한 화장품 체험 추천구매시스템
US20150121464A1 (en) * 2013-10-29 2015-04-30 Mapquest, Inc. Systems and methods for geolocation-based authentication and authorization
US20150250294A1 (en) * 2014-03-04 2015-09-10 Rebecca Miller Systems and methods for previewing beauty cosmetic applications using an electronic device
US20150356661A1 (en) * 2014-06-09 2015-12-10 Jillianne Rousay Cosmetic matching and recommendations
CN105138648A (zh) 2015-08-26 2015-12-09 宇龙计算机通信科技(深圳)有限公司 一种信息推荐方法及用户终端
US20180060919A1 (en) * 2016-01-29 2018-03-01 Boe Technology Group Co., Ltd. Intelligent dresser and corresponding cloud expert system
US10592932B2 (en) * 2016-01-29 2020-03-17 Boe Technology Group Co., Ltd. Intelligent dresser and corresponding cloud expert device
CN106407855A (zh) 2016-08-30 2017-02-15 珠海格力节能环保制冷技术研究中心有限公司 家用物品管理装置、方法及移动终端
CN106446207A (zh) 2016-09-30 2017-02-22 北京美到家科技有限公司 美妆库建库方法、个性化美妆辅助方法及其装置
CN106530014A (zh) 2016-11-21 2017-03-22 汕头市智美科技有限公司 一种用户大数据的处理方法及系统、一种数据库
CN106886907A (zh) 2017-01-19 2017-06-23 北京小米移动软件有限公司 处理商品信息的方法及装置
CN107198391A (zh) 2017-06-30 2017-09-26 广东工业大学 一种上妆指导美颜镜子

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
Anon., "MyBeautyBazaar Launches Premium Skin Care Brands Under One Roof," PR.com (Press Releases), Feb. 11, 2016. (Year: 2016). *
Office Action of CN Application No. 201810494703.2 and translation, dated Apr. 22, 2020, 27 pages.

Also Published As

Publication number Publication date
US20200226657A1 (en) 2020-07-16
WO2019223398A1 (zh) 2019-11-28
CN110020187A (zh) 2019-07-16

Similar Documents

Publication Publication Date Title
US11449918B2 (en) Makeup scheme recommendation method and device, cloud device, and electronic device
KR102271798B1 (ko) 미용 서비스 제공 시스템
US10755286B2 (en) Targeted marketing system and method
CN109310196B (zh) 化妆辅助装置以及化妆辅助方法
KR20220005424A (ko) 가상 캐릭터의 생성 방법 및 장치, 전자장비, 컴퓨터 판독가능 저장매체 및 컴퓨터 프로그램
US20120221418A1 (en) Targeted Marketing System and Method
KR20190097815A (ko) 토탈 뷰티 스타일 추천 방법
CN108234591A (zh) 基于身份验证装置的内容数据推荐方法、装置和存储介质
CN103995911A (zh) 基于智能信息终端的美容选配方法与系统
CN107198391A (zh) 一种上妆指导美颜镜子
CN108170728A (zh) 一种基于天气情况智能推荐穿衣系统
KR101852511B1 (ko) 사용자 피부 타입에 따른 화장품 추천 시스템 장치 및 방법
AU2019240635A1 (en) Targeted marketing system and method
CN106649465A (zh) 一种美妆信息的推荐和获取方法及装置
KR20200045759A (ko) 퍼스널 컬러 매칭 스타일링 시스템
WO2018029963A1 (ja) メイクアップ支援装置およびメイクアップ支援方法
CN107317974A (zh) 一种美妆拍照方法和装置
KR20220006022A (ko) 가상 캐릭터를 위한 슬라이더 블록 처리 방법 및 장치, 전자장비, 컴퓨터 판독가능 저장매체 및 컴퓨터 프로그램
KR20220137275A (ko) 빅데이터를 이용한 개인별 맞춤형 화장품 추천 서비스를 제공하기 위한 방법 및 시스템
US20210217074A1 (en) Systems and methods for providing a style recommendation
CN110673737A (zh) 基于智能家居操作系统的显示内容的调整方法及装置
KR20230033531A (ko) 무인 상품 서비스 제공 방법
US10296845B2 (en) Attribute estimation system
KR20200142705A (ko) 단말기와 서버 장치를 이용한 의상 추천 및 방법
JP7269309B1 (ja) 情報処理装置、画像提示方法、及びプログラム

Legal Events

Date Code Title Description
FEPP Fee payment procedure

Free format text: ENTITY STATUS SET TO UNDISCOUNTED (ORIGINAL EVENT CODE: BIG.); ENTITY STATUS OF PATENT OWNER: LARGE ENTITY

AS Assignment

Owner name: BOE TECHNOLOGY GROUP CO., LTD., CHINA

Free format text: ASSIGNMENT OF ASSIGNORS INTEREST;ASSIGNORS:JI, SHIHAO;LI, XIN;REEL/FRAME:050585/0429

Effective date: 20190806

STPP Information on status: patent application and granting procedure in general

Free format text: DOCKETED NEW CASE - READY FOR EXAMINATION

STPP Information on status: patent application and granting procedure in general

Free format text: NON FINAL ACTION MAILED

STPP Information on status: patent application and granting procedure in general

Free format text: RESPONSE TO NON-FINAL OFFICE ACTION ENTERED AND FORWARDED TO EXAMINER

STPP Information on status: patent application and granting procedure in general

Free format text: NOTICE OF ALLOWANCE MAILED -- APPLICATION RECEIVED IN OFFICE OF PUBLICATIONS

AS Assignment

Owner name: BEIJING BOE TECHNOLOGY DEVELOPMENT CO., LTD.,, CHINA

Free format text: ASSIGNMENT OF ASSIGNORS INTEREST;ASSIGNOR:BOE TECHNOLOGY GROUP CO., LTD.;REEL/FRAME:060705/0602

Effective date: 20220726

AS Assignment

Owner name: BEIJING BOE TECHNOLOGY DEVELOPMENT CO., LTD., CHINA

Free format text: CORRECTIVE ASSIGNMENT TO CORRECT THE ASSIGNEE'S NAME AND STREET ADDRESS PREVIOUSLY RECORDED AT REEL: 060705 FRAME: 0602. ASSIGNOR(S) HEREBY CONFIRMS THE ASSIGNMENT;ASSIGNOR:BOE TECHNOLOGY GROUP CO., LTD.;REEL/FRAME:061303/0178

Effective date: 20220726

STCF Information on status: patent grant

Free format text: PATENTED CASE